Robotics Engineer, Hardware Integrations

Lead the hardware and software integration work that enables intelligent robots to learn, operate, and scale in real-world lab and research settings. In this role you will bring up new robotic platforms, integrate multimodal sensors, build reliable data pipelines and low-latency teleoperation and video streaming systems, and partner closely with researchers to prototype and deploy new capabilities. Key Responsibilities

• Bring up, integrate, and maintain robotic platforms including humanoids, robotic manipulators, mobile robots, and custom end effectors.
• Build and maintain robust integrations with ROS 2, vendor hardware SDKs, and custom control interfaces.
• Design and operate scalable data collection pipelines for multimodal robotics datasets, capturing RGB, depth, IMU, force and torque, and joint telemetry using formats such as ROS Bag, HDF5, Parquet, and MP4.
• Develop and maintain teleoperation systems focused on low-latency control, observability, and operator experience.
• Build and optimize real-time video streaming infrastructure using technologies such as WebRTC, RTSP, FFmpeg, GStreamer, and HLS.
• Integrate, synchronize, and calibrate perception hardware including Intel RealSense, Luxonis OAK-D, ZED, FLIR, GigE, and USB camera systems.
• Diagnose hardware, networking, and system-level issues across lab and remote deployments, supporting robot bring-up, maintenance, and fleet operations.
• Improve developer tooling, automation, and documentation to increase reliability and research velocity.
• Partner closely with researchers and engineers to rapidly prototype, test, and iterate on new robotic capabilities.

• Strong programming skills in Python and C++, with working knowledge of C#.
• Deep experience with ROS 2, Ubuntu Linux, Docker, Git, and shell scripting.
• Experience integrating robotics hardware via vendor SDKs and low-level hardware APIs.
• Solid understanding of networking fundamentals, including TCP/IP, SSH, VPNs, REST or gRPC, and WebSockets.
• Hands-on experience building teleoperation systems and real-time video streaming infrastructure.
• Experience integrating and calibrating multimodal sensor systems, including RGB, depth, stereo, and IMU sensors.
• Familiarity with managing large robotics datasets using cloud storage such as AWS S3 or Cloudflare R2.
• Strong debugging skills across hardware, software, networking, and embedded systems.
• Comfortable working in a fast-paced, experimental environment where priorities evolve quickly.
• Preferred : experience supporting fleets of robots in production or research environments, familiarity with distributed robotics infrastructure and remote diagnostics, experience building tooling for robotics data collection, evaluation, or simulation, contributions to open-source robotics software or robotics research, experience with autonomous systems, computer vision, or embodied AI.

• Employment type: Full-time.
• Work location: On-site in San Francisco, California.

• Salary range: $200, 000 to $300, 000 per year.